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Long Jin 0005
Person information
- affiliation: Electronics and Telecommunications Research Institute, Korea
- affiliation: Chungbuk National University, CBNU, Chungbuk Information Technology Center, Database/Bioinformatics Laboratory, Korea
Other persons with the same name
- Long Jin — disambiguation page
- Long Jin 0001
— Lanzhou University, School of Information Science and Engineering, Lanzhou, China
- Long Jin 0002
— Jinan University, Guangdong Provincial Key Laboratory of Fiber Optic Sensing and Communications, Guangzhou, China
- Long Jin 0003
— Hefei University of Technology, Hefei, China (and 1 more)
- Long Jin 0004
— Beihang University, School of Computer Science and Engineering, Beijing, China
- Long Jin 0006 — Guangxi Research Institute of Meterological Disasters Mitigation, Nanning, China
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2000 – 2009
- 2008
- [c8]Heon Gyu Lee, Bum Ju Lee, Jin-Ho Shin, Long Jin, Cheng Hao Jin, Keun Ho Ryu:
Application of calendar-based temporal classification to forecast customer load patterns from load demand data. CIT 2008: 149-154 - 2007
- [c7]Long Jin, Duckjin Chai, Yang Koo Lee, Keun Ho Ryu:
Mining Frequent Itemsets over Data Streams with Multiple Time-Sensitive Sliding Windows. ALPIT 2007: 486-491 - [c6]Long Jin, Duckjin Chai, Jun Wook Lee, Keun Ho Ryu:
Mining Recent Frequent Itemsets over Data Streams with a Time-Sensitive Sliding Window. APWeb/WAIM Workshops 2007: 62-73 - [c5]Duckjin Chai, Long Jin, Buhyun Hwang, Keun Ho Ryu:
Frequent Pattern Mining using Bipartite Graph. DEXA Workshops 2007: 182-186 - [c4]Duckjin Chai, Buhyun Hwang, Eun Hee Kim, Long Jin, Keun Ho Ryu:
Prediction of Frequent Items to One Dimensional Stream Data. ICCSA Workshops 2007: 353-361 - 2006
- [c3]Long Jin, Yongmi Lee, Sungbo Seo, Keun Ho Ryu:
Discovery of Temporal Frequent Patterns Using TFP-Tree. WAIM 2006: 349-361 - 2005
- [c2]Chuyu Li, Long Jin, Sungbo Seo, Keun Ho Ryu:
An Efficient Range Query Under the Time Warping Distance. CIS (1) 2005: 721-728 - 2004
- [c1]Sungbo Seo, Long Jin, Jun Wook Lee, Keun Ho Ryu:
Similarity Pattern Discovery Using Calendar Concept Hierarchy in Time Series Data. APWeb 2004: 565-571
Coauthor Index

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last updated on 2025-05-19 21:13 CEST by the dblp team
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